Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §103 only | 3 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| JALALI, AMIR A. | 1 | 78.6% | +22.0% |
| LAHAM BAUZO, ALVARO SALIM | 1 | 25.0% | +100.0% |
| CHOKSHI, PINKAL R | 1 | 60.4% | +29.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18024242 | SYSTEM AND METHOD FOR AVOIDING CATASTROPHIC FORGETTING IN AN ARTIFICIAL NEURAL NETWORK | LAHAM BAUZO, ALVARO SALIM | 28d overdue |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18061470 | METHOD AND DEVICE FOR CONTROLLING A SYSTEM USING AN ARTIFICIAL NEURAL NETWORK BASED ON CONTINUAL LEARNING | CHOKSHI, PINKAL R | 197d overdue |
| 18246933 | SUBSTRATE FOR AN ELECTRONIC CHIP | JALALI, AMIR A. | 97d overdue |
| 18024242 | SYSTEM AND METHOD FOR AVOIDING CATASTROPHIC FORGETTING IN AN ARTIFICIAL NEURAL NETWORK | LAHAM BAUZO, ALVARO SALIM | 28d overdue |
| Art Unit | Apps |
|---|---|
| 2835 | 1 |
| 2146 | 1 |
| 2425 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18246933 | SUBSTRATE FOR AN ELECTRONIC CHIP | JALALI, AMIR A. | 2835 | §103 | Non-Final OA | 97d overdue | Pending | Mar 28, 2023 |
| 18024242 | SYSTEM AND METHOD FOR AVOIDING CATASTROPHIC FORGETTING IN AN ARTIFICIAL NEURAL NETWORK | LAHAM BAUZO, ALVARO SALIM | 2146 | §103 | Non-Final OA | 28d overdue | Pending | Mar 01, 2023 |
| 18061470 | METHOD AND DEVICE FOR CONTROLLING A SYSTEM USING AN ARTIFICIAL NEURAL NETWORK BASED ON CONTINUAL LEARNING | CHOKSHI, PINKAL R | 2425 | §103 | Non-Final OA | 197d overdue | Pending | Dec 04, 2022 |
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